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Free AWS DevOps Engineer Professional Exam Braindumps
AWS DevOps Engineer - Professional (DOP-C02) Questions 86–90 (page: 19)

Updated On: 10-Feb-2026
Page 19 of 43
PDF with 429 Questions

A company is implementing AWS CodePipeline to automate its testing process. The company wants to be noti ed when the execution state fails and used the following custom event pattern in Amazon CloudWatch:



Which type of events will match this event pattern?

  1. Failed deploy and build actions across all the pipelines
  2. All rejected or failed approval actions across all the pipelines
  3. All the events across all pipelines
  4. Approval actions across all pipelines

Answer(s): B



A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:

· The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance. · The application must be able to scale to meet an unpredictable number of concurrent users during the trial.

Which action will allow the team to quickly meet these objectives?

  1. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production. Build the Node.js application using existing processes and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
  2. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user-data scripts to install the application and the MySQL database on each EC2 instance. Update the stack to deploy new application versions.
  3. Con gure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is con gured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk 'swap cname' to promote the test environment to production.
  4. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.

Answer(s): C



A company is deploying a new application that uses Amazon EC2 instances. The company needs a solution to query application logs and AWS account API activity.

Which solution will meet these requirements?

  1. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Con gure AWS CloudTrail to deliver the API logs to Amazon S3. Use CloudWatch to query both sets of logs.
  2. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Con gure AWS CloudTrail to deliver the API logs to CloudWatch Logs. Use CloudWatch Logs Insights to query both sets of logs.
  3. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon Kinesis. Con gure AWS CloudTrail to deliver the API logs to Kinesis. Use Kinesis to load the data into Amazon Redshift. Use Amazon Redshift to query both sets of logs.
  4. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon S3. Use AWS CloudTrail to deliver the API logs to Amazon S3. Use Amazon Athena to query both sets of logs in Amazon S3.

Answer(s): B



A DevOps engineer is tasked with creating a more stable deployment solution for a web application in AWS. Previous deployments have resulted in user-facing bugs, premature user tra c, and inconsistencies between web servers running behind an Application Load Balancer. The current strategy uses AWS CodeCommit to store the code for the application. When developers push to the main branch of the repository, CodeCommit triggers an AWS Lambda deploy function, which invokes an AWS Systems Manager run command to build and deploy the new code to all Amazon EC2 instances.

Which combination of actions should be taken to implement a more stable deployment solution? (Choose two.)

  1. Create a pipeline in AWS CodePipeline with CodeCommit as a source provider. Create parallel pipeline stages to build and test the application. Pass the build artifact to AWS CodeDeploy.
  2. Create a pipeline in AWS CodePipeline with CodeCommit as a source provider. Create separate pipeline stages to build and then test the application. Pass the build artifact to AWS CodeDeploy.
  3. Create and use an AWS CodeDeploy application and deployment group to deploy code updates to the EC2 eet. Select the Application Load Balancer for the deployment group.
  4. Create individual Lambda functions to run all build, test, and deploy actions using AWS CodeDeploy instead of AWS Systems Manager.
  5. Modify the Lambda function to build a single application package to be shared by all instances. Use AWS CodeDeploy instead of AWS Systems Manager to update the code on the EC2 eet.

Answer(s): B,C



A company wants to set up a continuous delivery pipeline. The company stores application code in a private GitHub repository. The company needs to deploy the application components to Amazon Elastic Container Service (Amazon ECS), Amazon EC2, and AWS Lambda. The pipeline must support manual approval actions.

Which solution will meet these requirements?

  1. Use AWS CodePipeline with Amazon ECS, Amazon EC2, and Lambda as deploy providers.
  2. Use AWS CodePipeline with AWS CodeDeploy as the deploy provider.
  3. Use AWS CodePipeline with AWS Elastic Beanstalk as the deploy provider.
  4. Use AWS CodeDeploy with GitHub integration to deploy the application.

Answer(s): B



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